Any time using shared storage like S3 or cephfs/nfs/gluster/etc the absolute rule that I refuse to break is to never rely on a directory listing to know where objects/files are. You should be maintaining a database of some sort or a deterministic naming scheme. The only time a full listing of a directory should be required is if you feel like your tooling is orphaning files and you want to clean them up. If I had someone with a bucket with 2B objects, I would force them to use an index-less bucket.
That's me, though. I'm sure there are ways to manage a bucket in other ways, but it sounds awful.
On Tue, May 1, 2018 at 10:10 AM Robert Stanford <rstanford8896@xxxxxxxxx> wrote:
Listing will always take forever when using a high shard number, AFAIK. That's the tradeoff for sharding. Are those 2B objects in one bucket? How's your read and write performance compared to a bucket with a lower number (thousands) of objects, with that shard number?_______________________________________________On Tue, May 1, 2018 at 7:59 AM, Katie Holly <8ld3jg4d@xxxxxx> wrote:One of our radosgw buckets has grown a lot in size, `rgw bucket stats --bucket $bucketname` reports a total of 2,110,269,538 objects with the bucket index sharded across 32768 shards, listing the root context of the bucket with `s3 ls s3://$bucketname` takes more than an hour which is the hard limit to first-byte on our nginx reverse proxy and the aws-cli times out long before that timeout limit is hit.
The software we use supports sharding the data across multiple s3 buckets but before I go ahead and enable this, has anyone ever had that many objects in a single RGW bucket and can let me know how you solved the problem of RGW taking a long time to read the full index?
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Best regards
Katie Holly
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